Description

You will design and bridge the gap between traditional backend systems and modern AI/ML platforms.

Responsibilities

• Architect scalable, secure microservices using Java and Spring Boot.
• Collaborate with AI/ML teams to integrate LLM-based tools and frameworks into enterprise applications.
• Design solutions involving MCP, A2A communication, and LLM orchestration frameworks like LangChain and Agentic AI.
• Translate business requirements into technical architectures leveraging both traditional and AI-driven components.
• Lead technical discussions with stakeholders, including product managers, data scientists, and platform teams.

Required Skills

• 8+ years of experience in backend development with Java and Spring Boot.
• Proven experience designing and deploying microservices architectures.
• Familiarity with AI/ML concepts, including LLMs, prompt engineering, and AI agents.
• Understanding of LangChain, Agentic AI, or similar LLM orchestration frameworks.
• Experience integrating with AI platforms such as OpenAI, Azure OpenAI, Anthropic, or Hugging Face.
• Strong understanding of API design, event-driven systems, and cloud-native architectures.
• Excellent communication and stakeholder management skills.

Preferred Skills

• Hands-on experience with LLM-based applications or AI agent frameworks.
• Exposure to MCP, A2A, or similar AI infrastructure concepts.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of data pipelines and AI model lifecycle management.

Key Skills

Education

Any Gradute